crop statistics - tripura · report 4-20 b) estimation of area on the basis of crop forecast report...

Government of Tripura

Directorate of Horticulture

And Soil Conservation

Department of Agriculture

Guiding Manual for Horticultural

Crop Statistics

TABLE OF CONTENT

Contents PAGE

Introduction 1

Concepts And Terminology 2-3

System for Estimation of Area under Different

Horticultural Crops 4

a) Estimation of area on the basis of Monthly Progress

Report 4-20

b) Estimation of area on the basis of crop Forecast

Report 21-23

c) Sample Survey Method 24-28

System For Estimation Of Production & Productivity Of

Different Horticultural Crops 29

A. Estimation of Production & Productivity through

Crop Cutting Experiments (CCE) 29-41

B. Estimation of production & productivity through

conducting Crop Yield Appraisal Survey (YAS) 42-46

Procedure for selection of sample by using random

number table 47-51

Annexure – I 52

INTRODUCTION

Horticulture, which has gained commercial tone in the recent years, is an important

component of Agriculture, having very significant share in the economy of the country. India

has the advantage of diverse agro-climatic conditions which enables it to produce a wide

range of horticultural crops round the year. The horticulture crops also provide better

alternative for diversification of Indian agriculture in view of higher return. It plays an

important role in country’s nutritional security as well as alleviating poverty and generating

employment.

Horticulture is an important segment of Agriculture, contributing about one-fifth share

of the Agriculture and allied sectors. Rapidly growing demand for horticultural commodities

and products especially for processed fruits and vegetables as well as booming floriculture

market is an evidence of the phenomenon that is expected to accelerate horticultural growth

in the State.

In view of the commercially importance it has become imperative to have proper

planning for enhancing the productivity of Horticultural crops. One of the basic requirements

for proper planning for increasing the production of these crops in the country is the

availability of reliable statistics about their area and production at various level. No realistic

target for production of these crops can be made in the absence of reliable statistics about

the area & production. Lack of reliable and authentic base-line data or inadequate and

incomplete data is one of the serious constraints of horticultural development. Besides lack of

authentic data restricts the scope of identifying the opportunities for undertaking much

needed crop diversification programmes. Hence, it is one of the foremost duty of the

staff/officers working in the field of Horticulture to collect reliable data, record it properly and

analyze it systematically to get a authentic picture with respect to assessing Horticultural

area, production and productivity of the State.

With a view to above, it is decided to prepare a guiding manual for the field staff and

officers of the State to enable them collection of quality data, ensuring proper documentation

and regular reporting. This manual will serve as a ready reckoner for all the user

organizations and help them in following uniform definitions, procedure of data collection,

compilation and reporting.

CONCEPTS AND TERMINOLOGY

1. Agricultural year: Agricultural year is defined as the period of 12 months from 1st July

to 30th June.

2. Season: Agricultural year is divided into four non-overlapping seasons of three months

duration for the collection and reporting of area under different Horticultural crops.

These are:-

a) Bhadui Season – 1st July to 15th October

b) Winter Season - 16th October to 15th January c) Rabi Season – 16th January to 30th March

d) Summer/Kharif– 1st Apri to – 30th June.

3. Orchard: For the purpose of the survey a garden/orchard is to be taken as a distinct

patch or portion of land growing 12 and above plants in rows.

a) Pure Orchard: An orchard is to be considered as a pure orchard if 90% or more

area of the orchard is occupied with single crop.

b) Mixed Orchard: An orchard is to be considered as mixed if more than 10% of the

orchard is occupied with other perennial crops.

c) Young and bearing orchard: A young orchard is defined as the one in which at

least 90% of the trees planted have not attained the bearing age during the year under

survey, otherwise it will be regarded as a bearing orchard.

4. Perennial crops: Crops which are standing for more than one year are treated as

perennial crops.

5. Reporting or non-reporting villages: A “reporting” village for a given fruit is one in

which significant area is covered under that particular fruit and else it is non- reporting

village.

6. Bearing tree: A bearing tree is regarded as one which has attained the bearing age and

has also borne fruits during the season/year under survey.

7. Non-bearing tree: A tree of bearing age which fails to bear fruits during the season/year

under survey due to any reasons such as disease, old age, withering of flowers etc. is

regarded as non-bearing tree.

8. Young tree: A young tree is defined as a tree which has not attained the specified

bearing age of the fruit.

9. Stray or scattered trees: Trees not planted in orchards, those planted in clusters of less

than 12 trees as well as those planted in back-yard of houses, along the roads, river banks

etc. are defined as stray or scattered trees.

10. Tree of bearing age: A tree of bearing age may be regarded as a tree which has

attained the age at which 95 percent of the trees are normally expected to bear fruits

irrespective of the fact whether or not the tree bears fruit during the particular year /season.

The bearing age for different fruit plants are as follows:

(i) Guava, Sapota, Lime and other citrus fruits: 4 years

(ii) Mango and Litchi: 5 years

(iii) Papaya: 18 months

11. Extent of cultivation of fruits:

Extent of cultivation of fruits includes:

Total number of fruit trees categorized as bearing, non-bearing & young.

Number of orchards categorized as bearing, non bearing & young

Area under orchards as well as area under stray trees.

12. Average yield per bearing tree: The average yield per bearing tree is the average

yield obtained from trees of bearing age which have borne fruit during the season/year under

survey in terms of weight as well as count of fruits.

13. Area under a given vegetable crop: The area under a given vegetable crop in a tract

is the total of areas of fields sown under that vegetable.

14. Pure vegetable field: A pure vegetable field is one in which either a single vegetable

crop is sown at a time or the number of plants of the main vegetable crop is more than 90

percent.

15. Inter-crop: Inter crop is one which is sown alongwith certain other field or horticultural

crop in a systematic form e.g. vegetables sown in the vacant spaces in an orchard.

16. Period of harvesting: Period of harvesting of any Horticultural crop will be regarded as

total period between the first picking and the last picking.

System for Estimation of Area under Different

Horticultural Crops

Methods to be adopted for estimation of area under different Horticultural crops during

a season are categorised as below:

a) Estimation of area on the basis of Monthly Progress Report.

b) Estimation of area on the basis of crop Forecast Report.

c) Sample Survey Method (Household wise, crop wise recording of area under Horticultural

crops from at least 20% GPs of each Agri./Horti. Sub-Division).

a) Estimation of area on the basis of Monthly Progress Report:

i) Procedures for collection of data:

Data will be collected in prescribed format from GP Level and then this will be

forwarded to District level via Agri./Horti. Sector level, Agri./Horti. Sub-Division level and then

this will be reported on monthly basis according to the crop season. The V.L.W/A.A shall

collect data as per following guidelines:

VLW/AA will traverse the entire area of G.P at the time of sowing

/transplanting/planting and record the area under coverage of different Horticultural

crops in a diary crop wise, location wise for that date.

VLW/AA will apply participatory rural appraisal technique to know if there is any other

cropped area ignored and update the recorded data.

The Agri Sector Officer (A.S.O) shall randomly select locations out of exhaustive list

collected from the V.L.W and traverse 50% of these locations covering all G.Ps before

validating the reported data submitted by the V.L.W/A.A. A.S.O shall also check &

authenticate the daily maintained statistical field diary.

Similarly the SA/SH shall randomly select locations out of exhaustive list collected from

the A.S.O and traverse at least 25% of the locations under his/her jurisdiction before

validating the reported data submitted by the A.S.O.

DDH shall randomly select locations out of exhaustive list collected from the SA/SH

and traverse at least 10% of the locations under his jurisdiction before validating the

reported data submitted by the SA/SH.

TABLE NO – 1: Proforma for Collection of Monthly Area Coverage Report at GP

Level.

1(A): Monthly Area Coverage Report Under Summer Vegetables for the month of

………………… during the year ………………

Name of District: Name Agri./Horti. Sub-Division:

Name of Agri. Sector: Name of VLW circle:

Name of GP/ADC Village:

Sl.

No. Name Of The Crop Area Covered In Kani

Commercial Kitchen Total

A. Summer Vegetables

1. Bhendi

2. Brinjal

3 Spine Gourd

4. Pointed Gourd

5 Ridge Gourd

6 Bitter Gourd

7 Bottle Gourd

8 Pumkin/Sweet Gourd

9 Ash Gourd

10 Snake Gourd

11 Colacasia

12 E.F.Yam

13 Jal Kachu

14 Cucumber

15 Amaranthes

16 Barbati

17 Raddish

18 Cowpea

19 Summer Cabbage

20 Summer Cauliflower

21 Summer Tomato

22 Chilli (Green)

23 Other Leafy Vegetables

24 Water Melon

25 Others (please specify)

26 Flowers

1(B): Monthly Area Coverage Report under Winter Vegetables for the month of




Name of G.P./ADC Village:

Sl.

No. Name Of The Crop

Area Covered In Kani

Commercial Kitchen Total

B. Winter Vegetables

1. Potato

2. Cabbage

3. Cauliflower

4. Brinjal

5. Raddish

6. Tomato

7. Gardenpea

8. Cucumber

9. Knolkhol

10. French Bean

11. Carrot

12. Capsicum

13. Brocoli

14. Chilli

15. Bottle Gourd

16. Beet

17. Bitter Gourd

18. Pumkin/Sweet Gourd

19. Others (Specify if any)

20. Flowers

1(C): Monthly Area Coverage Report under Fruits & Plantation Crops for the

month of ………………… during the year ………………




Part A

Part B

B NB Y T B NB Y T B NB Y T B NB Y T B NB Y T B NB Y T B NB Y T B NB Y T B NB Y T

1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial

(Orchard)Home Stead Stray

Commercial

(Orchard)Home Stead

Existing New Area

Commercial


First Time Plantation Senile Plantation

SL NO

NAME

OF

THE

CROP

Area Covered in Kani

Grand

Total

Name of District

Nos. of Orchard: ……………….. Existing: ………………………………………………….……. New: ………………………………

Bearing………………………….. Young……………………………

Note: Stray means Plantation at Road side, backward etc. Homestead means Plantation in Kitchen garden, school and colleges. 1(D): Monthly Area Coverage Report Under Spices for the month of ………………… during the year ………………




Sl. No. Name Of Crops Area Covered In Kani

Sole Inter Total

1 Ginger

2 Turmeric

3 Chilly

4 Onion

5 Black Pepper

6 Garlic


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


Commercial

(Orchard)Home Stead

Existing New Area

Commercial



SL NO

NAME

OF

THE

CROP

Plant/Trees in Nos.

Grand

Total

Name of District


Bearing………………………….. Young……………………………

TABLE NO – 2: Proforma for Submission of Monthly Compiled Report at Agri./Horti. Sector Level. 2(A): Monthly Area Coverage Report Under Summer Vegetables for the month of ………………… during the year ……………… Name of District: Name Agri./Horti. Sub-Division: Name of Agri. Sector: Name of VLW circle: Name of G.P./ADC Village:

Sl. No

Name of The Crop

AREA COVERED In Kani Grand Total

Name of GP

Commercial Kitchen Total Commercial Kitchen Total


1 Bhendi

2 Brinjal

3 Spine Gourd

4 Pointed Gourd

5 Ridge Gourd

6 Bitter Gourd

7 Bottle Gourd

8 Pumkin/Sweet Gourd

9 Ash Gourd

10 Snake Gourd

11 Colacasia

12 E.F.Yam

13 Jal Kachu

14 Cucumber

15 Amaranthes

16 Barbati

17 Raddish

18 Cawpea

19 Summer Cabbage

20 Summer Cauliflower

21 Summer Tomato

22 Chilli (Green)


24 Water Melon

25 Others (please specify)

26 Flower

2(B): Monthly Area Coverage Report Under Winter Vegetables for the month of





Sl

No Name Of The

Crop

Area Covered In Kani

Grand

Total

Name Of GP


A. Winter

Vegetables

1 Potato

2 Cabbage

3 Cauliflower

4 Brinjal

5 Raddish

6 Tomato

7 Gardenpea

8 Cucumber

9 Knolkhol

10 French Bean

11 Carrot

12 Capsicum

13 Brocoli

14 Chilli

15 Bottle Gourd

16 Beet

17 Bitter Gourd

18 Pumkin/Sweet

Gourd

19 Others

(Specify if

any)

20 Flowers

2(C): Monthly Area Coverage Report Under Fruits & Plantation Crops for the





Part A

Part B


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


SL NO

NAME

OF

THE

CROP


Existing New Area

Name of GP


Bearing………………………….. Young……………………………

Grand

Total

Commercial



Commercial

(Orchard)Home Stead

Note: Stray means Plantation at Road side, backward etc.

Homestead means Plantation in Kitchen garden, school and colleges.

2(D): Monthly Area Coverage Report Under Spices for the month of …………………

during the year ………………




Sl.

No.

Name Of

Crops


Grand

Total Name Of GP

Sole Inter Total Sole Inter Total

1 Ginger

2 Turmeric

3 Chilli

4 Onion

5

Black

Pepper

6 Garlic

Total


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

Plantation

Crop

1 Coconut

2 Arecanut

3 Cashewnut

Plant/Trees in Nos.


Bearing………………………….. Young……………………………

Name of GP

Existing

Commercial

(Orchard)Home Stead Stray Commercial



New Area

Commercial


Fruit Crops

SL.NO

NAME

OF

THE

CROP

Grand

Total

TABLE NO – 3: Proforma for Submission of Monthly Compiled Report at Agri./Horti Sub-Division level. 3(A): Monthly Area Coverage Report Under Summer Vegetables for the month of ………………… during the year ……………… Name of District: Name Agri./Horti. Sub-Division:

Sl. No

Name Of The Crop

Area Covered In Ha Grand Total

Name of Agri./Horti Sector


A.Summer Vegetables

1 Bhendi 2 Brinjal 3 Spine Gourd 4 Pointed Gourd 5 Ridge Gourd 6 Bitter Gourd 7 Bottle Gourd 8 Pumkin/Sweet

Gourd 9 Ash Gourd 10 Snake Gourd 11 Colacasia 12 E.F.Yam

13 Jal Kachu 14 Cucumber 15 Amaranthes 16 Barbati 17 Raddish 18 Cawpea 19 Summer

Cabbage 20 Summer

Cauliflower 21 Summer

Tomato 22 Chilli (Green) 23 Other Leafy

Vegetables 24 Water Melon

25 Others (please

specify)

26 Flowers

3(B): Monthly Area Coverage Report under Winter Vegetables for the month of


Name of District:

Name Agri./Horti. Sub-Division:

Sl

No

Name Of The

Crop

AREA COVERED in Ha

Grand

Total



A. Winter

Vegetables

1 Potato

2 Cabbage

3 Cauliflower

4 Brinjal

5 Raddish

6 Tomato

7 Gardenpea

8 Cucumber

9 Knolkhol

10 French Bean

11 Carrot

12 Capsicum

13 Brocoli

14 Chilli

15 Bottle Gourd

16 Beet

17 Bitter Gourd

18 Pumkin/Sweet

Gourd

19 Others (Specify

if any)

20 Flowers



Name of District:


Part A

Part B


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


SL NO

NAME

OF

THE

CROP


Existing New Area



Bearing………………………….. Young……………………………

Grand

Total

Commercial



Commercial

(Orchard)Home Stead



3(D): Monthly Area Coverage Report under Spices for the month of …………………


Name of District:


Sl No Name Of

Crops

Area Covered In Ha

Grand

Total Name Of Agri./Horti Sector


1 Ginger

2 Turmeric

3 Chilli

4 Onion

5 Black

Pepper

6 Garlic

Total


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

Plantation

Crop

1 Coconut

2 Arecanut

3 Cashewnut

Plant/Trees in Nos.


Bearing………………………….. Young……………………………

Name of Agri./Horti. Sector

Existing

Commercial




New Area

Commercial


Fruit Crops

SL.NO

NAME

OF

THE

CROP

Grand

Total

TABLE NO – 4: Proforma for Submission of Monthly Compiled Report at District

level.

4(A): Monthly Area Coverage Report Under Summer Vegetables for the month of


Name of District:

Sl. No

Name Of The Crop

Area Covered In Ha

Grand Total

Name of Agri./Horti Sub-Division



1 Bhendi

2 Brinjal

3 Spine Gourd

4 Pointed Gourd

5 Ridge Gourd

6 Bitter Gourd

7 Bottle Gourd

8 Pumkin/Sweet

Gourd

9 Ash Gourd

10 Snake Gourd

11 Colacasia

12 E.F.Yam

13 Jal Kachu

14 Cucumber

15 Amaranthes

16 Barbati

17 Raddish

18 Cawpea

19 Summer Cabbage

20 Summer

Cauliflower

21 Summer Tomato

22 Chilli (Green)


24 Water Melon

25 Others (please

specify)

26 Flowers

4(B): Monthly Area Coverage Report nder Winter Vegetables for the month of


Name of District:

Sl

No

Name Of The

Crop

AREA COVERED In Ha

Grand

Total



A. Winter

Vegetables

1 Potato

2 Cabbage

3 Cauliflower

4 Brinjal

5 Raddish

6 Tomato

7 Gardenpea

8 Cucumber

9 Knolkhol

10 French Bean

11 Carrot

12 Capsicum

13 Brocoli

14 Chilli

15 Bottle Gourd

16 Beet

17 Bitter Gourd

18 Pumkin/Sweet

Gourd

19 Others (Specify

if any)

20 Flowers



Name of District:

Part A

Part B


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


SL NO

NAME

OF

THE

CROP

Area Covered in Ha

Existing New Area



Bearing………………………….. Young……………………………

Grand

Total

Commercial



Commercial

(Orchard)Home Stead



4(D): Monthly Area Coverage Report Under Spices for the month of …………………


Name of District:

Sl. No. Name Of

Crops

Area Covered in Ha

Grand

Total Name of Agri./Horti Sub-Division


1 Ginger

2 Turmeric

3 Chilli

4 Onion

5

Black

Pepper

6 Garlic


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

Plantation

Crop

1 Coconut

2 Arecanut

3 Cashewnut

Plant/Trees in Nos.


Bearing………………………….. Young……………………………

Name of Agri./Horti. Sub-Division

Existing

Commercial




New Area

Commercial


Fruit Crops

SL.NO

NAME

OF

THE

CROP

Grand

Total

b) Estimation of area on the basis of crop Forecast Report:

Crop Forecast is a most probable assessment of area coverage and production of a

crop while it is standing in the field. Normally three forecasting is taken from the field in a

season.

i) First Forecast:

Objective of the first forecast is to know in advance about the idea of area

sown/transplanted and weather condition at sowing/transplanting time of a crop in a

particular season. This forecast confirms only area coverage and not the production. Normally

1st forecast is taken One to One and half months after sowing/ transplanting of the crop.

ii) Second Forecast:

This is normally taken one to one and half months after the first forecast. This report

will show entire area coverage including late sown area and crop condition. Besides the 2nd

forecast will also provide an advance anticipated production of the crop based on impression

of the crop condition.

iii) Third and Final forecast:

This forecast will be taken immediate before the harvesting of the crops. This is based

on complete inspection of the field and will confirm the total area coverage under the crops.

This will also give an assessment on production which is closer proximity to the accurate

production figures so will be obtained through Crop Cutting Experiments/Crop yield

Appraisals.

Concept & Terminology with respect to Crop Forecast:

a) Total Out-turn (Production): Total Out-turn of the crop is to be obtained with the help of

following formula:

Total out-turn (i.e. production) = Normal Yield x Condition factor of the crop under

Report x Area of the crop under report.

b) Normal Yield: Average of last 3 years Yield.

c) Condition factor: The condition factor of a crop gives the condition of the crop in a

particular season under report in comparison to normal crop yield. It is usually expressed in

terms of percentages (%) or “Annas”. Generally, normal out-turn per hectare vary between

12 annas to 16 annas (i.e. 75% to 100%) & even more.

Format for reporting crop forecast report:

Part A (For VLW/AA)

Sl.

No. Particulars

1 Name of the District

2 Name of Agri. Sub-division

3 Name of the Block

4 Name of Agri. Sector

5 Name of the VLW Circle/ Village

6 Name of the Gram Panchayet

7 Name of the crop

Nos. of forecast report: First/Second/Final

8 Area under the crop during reporting year in

kani and ganda

9 Area under crop during previous year in kani

and ganda

Normal yield (Qtl per kani) (average yiel of

last 3 years)

10 Area under bearing (in case of perennial

crops) in kani and ganda

11 Crop condition factor

12 Total production in Qtls.

Part B (For ASO)

Sl.

No. Particulars



3 Name of the Block


5 Name of the crop

6 Nos. of forecast report: First/Second/Final


kani and ganda


and ganda

9 Normal yield (Qtl per kani) (average yield of

last 3 years)





Part C (For SA/SH)

Sl.

No. Particulars



3 Name of the Block

4 Name of the crop



kani and ganda


and ganda

8 Normal yield (Qtl per kani) (average yield of

last 3 years)





Part D (For DDH)

Sl. No. Particulars



3 Name of the crop


5 Area under the crop during reporting year (in

Ha)

6 Area under crop during previous year (in Ha)

7 Normal yield (MT per Ha) (average yield of last 3

years)

8 Area under bearing (in case of perennial crops)

(in Ha)


10 Total production (in MT).

c) Sample Survey Method (Household wise, crop wise recording of area under

Horticultural crops from at least 20% GPs of each Agri./Horti. Sub-Division).

i) Procedure for estimation of area under Vegetables and Spices Crops:

DDH will form cluster of villages comprising of three adjacent villages in its stratum

(each Agri./Horti Sub-Division).

20% of the clusters thus formed covering the whole district will be randomly selected.

The allocation of sample cluster of villages to different Agri./Horti. Sub-Division

(Stratum) will be done in proportion to area under vegetables.

The allocated no. of clusters in different stratum will be selected with simple random

sampling without replacement (SRSWOR) method.

In the selected cluster of villages area under vegetables will be completely enumerated

from each of the household in the cluster in a prescribed format and submitted to the

higher authority for onward transmission to the Directorate of Horticulture & Soil

Conservation for statistical estimation.

Time scheduled for survey works and reporting

Seasons Crop to be surveyed

Randomly selection

of villages

by SA/SH

Appointment of

enumerators for survey

work

Survey to be done by

VLW/AA during the

period

Cutoff date for

submission of report to

DH&SC

Bhadui (1st July to 15th Oct)

Summer

Vegetables 1st week of April

1st week of April

15th July to 31st July

15th August

Winter (16th Oct to 15th Jan)

Winter

Vegetable 1st week of Nov

1st week of Nov

15th Nov to 7th Dec

15th Jan

Rabi (16th Jan to 31st March)

Winter

Vegetable 1st week of Feb

1st week of Feb

15th Feb to 1st week of

March 15th April

Summer (1st April to 30th June)

Summer

Vegetables

& Spices

1st week of April

1st week of April

15th May to 31st May

15th June

Proforma for recording area under vegetables and Spices in each

household of selected GP

Part A (household wise information)

Name of District:

Name of Sub-Division:

Name of Sector:

Name of GP:

Reference Survey Period: Bhadui/Winter/Rabi/Summer:

Name of farmer:

Father's Name:

Total Holding of the farmer in Kani and Ganda:

i) Tilla Land:

ii) Medium Land:

iii) Plain Land:

Area under vegetables and Spices during the survey period in kani

Name of

Vegetables/

Spices Crops

Type of

Crop (Local

/OP /Hybrid)

Name of

Variety

Area under Vegetable crop

Sowing

Time

Harvesting

Period Commercial Kitchen Garden

As

main/sole crop

As Intercrop

As

main/sole crop

As Intercrop

1 2 3 4 5 6 7 8 9

Part B (GP wise compilation report)


Name of District:


Name of Sector:

Name of GP:

Total Nos. of Farmers

Total holding in GP (Area in kani)

i) Tilla Land:

ii) Medium Land:

iii) Plain Land:

Area under vegetables and Spices during the survey period in kani

Name of

Vegeta

bles Crops

Area in Kani Name

of

Varieties

grown

Area under Vegetable crop

Sowing Time

Harvesting Time

Local OP Hybrid Total

Commercial Kitchen Garden

As main/sol

e crop

As Intercr

op

As main/sol

e crop

As Intercro

p

1 2 3 4 5 6 7 8 9 10 11 12

ii) Procedure Estimation of area under Fruits, Plantations & Trees Spices Crops:

List of reporting villages/GPs and non reporting villages/GPs will be prepared on the

basis of village having significant cropped area under the reporting fruits & nuts crop.

A total of 15 Nos. of reporting villages will be selected randomly in each District.

Nos. of sample will be allocated proportional to the area under crop in each Agri./Horti

Sub-Division.

Villages/GPs in each Agri./Horti Sub-Division will be selected with probability

proportional to size with replacement (PPSWR) taking area under crop in a village as

auxiliary character in consultation with random number table.

Then the selected villages are to be completely enumerated for the extent of

cultivation and Nos. of trees in orchard, bearing, non bearing, age group wise trees

and also the stray trees in a prescribed format.

Time scheduled for survey works and reporting

Seasons Crop to be surveyed

Randomly selection of villages by

SA/SH

Appointment of

enumerators for survey

work

Survey to be done by

VLW/AA during the period

Cutoff date for submission of

report to DH&SC

Summer (1st April to 30th June)

All fruits,

nuts &

Black

1st week of April

1st week of April

15th May to 31st May

15th June

Pepper

Proforma for recording area under Fruits, Nuts & Tree Spices in each

household of selected GP

Part A (household wise information)

Name of District:


Name of Sector:

Name of GP:


Name of farmer

Father's Name:

Total Holding of the farmer in Kani and Ganda:

i) Tilla Land:

ii) Medium Land:

iii) Plain Land:

Nos. of Orchard

i) Bearing

ii) Young

Total Nos. of Trees

Total Nos. of Bearing Trees

Total Nos. of Non Bearing Trees

Total Nos. of Young Trees

Part B (GP wise compilation report)

Name of District:


Name of Sector:

Name of GP:


Total Nos. of farmer

Total Holdings in the GP in Kani and Ganda:

i) Tilla Land:

ii) Medium Land:

iii) Plain Land:

Nos. of Orchard

i) Bearing

ii) Young

Total Nos. of Trees

Total Nos. of Bearing Trees

Total Nos. of Non Bearing Trees

Total Nos. of Young Trees


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


SL NO

NAME

OF

THE

CROP

Area Covered in kani

Existing New Area

Grand

Total

Commercial



Commercial

(Orchard)Home Stead


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

Plantation

Crop

1 Coconut

2 Arecanut

3 Cashewnut

Plant/Trees in Nos.

Existing

Commercial




New Area

Commercial


Fruit Crops

SL.NO

NAME

OF

THE

CROP

Grand

Total

System For Estimation Of Production & Productivity Of Different

Horticultural Crops:

Production & Productivity of major Horticultural crops are to be estimated on the basis

of data obtained through Crop Cutting Experiments (CCEs) and Yield Appraisal Survey (YAS)

Method.

A. Estimation of Production & Productivity through Crop Cutting Experiments

(CCE):

The following crops are to be estimated through conducting CCE:


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

14

Plantation

Crop

15 Coconut

16 Arecanut

17 Cashewnut

Fruit Crops

StrayCommercial


SL NO

NAME

OF

THE

CROP

Area Covered in kani

Existing New Area

Grand

Total

Commercial



Commercial

(Orchard)Home Stead


1 Mango

2 Pinepple

3 Orange

4 Jackfruits

5 Banana

6 Litchi

7

Lime/Lemo

n

8 Papaya

9 Sapota

10 Musambi

11 Guava

12 Ber

13

Minor

Fruits

Plantation

Crop

1 Coconut

2 Arecanut

3 Cashewnut

Plant/Trees in Nos.

Existing

Commercial




New Area

Commercial


Fruit Crops

SL.NO

NAME

OF

THE

CROP

Grand

Total

Vegetables Fruits Nuts Spices


1.Bhindi 1.Mango 1.Coconut 1.Ginger

2.Brinjal 2.Pinapple 2.Arecanut 2.Turmeric

3.Spine Gourd 3.Jackfruits 3.Cashewnut 3.Chilli

4.Pointed Gourd 4.Banana 4. Betel Vine

Methodology to be followed for conducting CCE in Vegetable Crops & Spices:

i) Sampling Design:

The sampling design to be adopted in the crop cutting experiments (CCEs) is Multi

Stage Stratified Random Sampling. The Agri./Horti Sub-Divisions have been taken as

strata. The selected Gram Panchyet (GP), within the Agri./Horti Sub-Divisions will be treated

as First Stage Units (FSU). Selected growers/farmers in a Gram Panchyet (GP) will be treated

as a Second Stage Unit (SSU) & selected plots will be considered as the Ultimate Stage of

Sampling.

ii) Size of experimental plot:

The size and shape of the experimental plot for Vegetable crops, Spices & Pineapple is

square shaped with dimension of (5m x 5m).

iii) Sample Size:

a) 16 nos. of CCEs will be conducted in each Agri./Horti. Sub-Division for each

crop

b) 8 nos. of GP will be selected randomly in each Agri./Horti Sub-Division

c) 2 nos. of CCE will be undertaken in each selected GP against each crop.

iv) Nos. of Pickings: All the Pickings in a selected plots.

v) Frequency: As per harvesting time.

vi) Steps for conducting Crop Cut Experiment (CCE):

a) Selection of GPs for taking CCEs of a particular vegetable Crop/Annual

Spices/Pineapple:

5.Colacasia 5.Lime/Lemon

6.Water Melon

B. Winter Vegetables

1. Potato

2. Cabbage

3. Cauliflower

4. Brinjal

5. Raddish

6.Tomato

7.Gardenpea

8. Chilli

From the exhaustive list of villages in a Agri./Horti. Sub-Division, a sample of 8 villages

would be selected with Simple Random Sampling Without Replacement (SRSWOR)

using random number table.

b) Collection and submission of exhaustive list of farmers:

Office of Supdt of Agriculture/Horticulture will hand over the list of selected GPs to

the Agri. Asstt./VLWs. The Agri. Asstt./VLWs will then prepare a exhaustive list of farmers

growing programme crops in each selected GP and submit it to the Office of Supdt of

Agriculture/Horticulture.

c) Selection of Farmers for undertaking crop cut:

The Statistical Inspector/ Investigator/person entrusted with the statistical works in the

Office of Supdt of Agriculture/Horticulture will select required Nos. (2 Nos.) of the cultivators’

randomly with SRSWOR method against each crop from the exhaustive list submitted by Agri.

Asstt./VLWs. The list of selected farmers will then be communicated by SA/SH to the VLW

and ASO in the following format for conducting CCEs as per format below:

Name of Agri./Horti

Sub-Division

GP/ADC Village

Name of

Farmer

Area under

crop (in Kani)

HYV /Hybrid

/OP /Local

Name of

Variety

Tentative date of

harvesting

Name of staff

assigned for

conducting CCE

Name of Supervising

Officer

1 2 3 4 5 6 7 8 9

d) Procedure for locating experimental plot for conducting CCEs:

In each selected farmer’s field a plot of square size with dimension (5 m x 5 m) is to be

located at random. Procedure for locating experimental plot on random basis is indicated

below.

Let the four corners of the field in which crop cutting experiment plot is to be located

be named as ABCD. Let the point “A” represents the south-west corner of the field.

For locating south-west corner of the field, the Official taking the crop-cut should stand

at this point facing the field and keeping the cut area to his right.

D C

S S R 5 m

P Q

7.07 m

A T B

The point A, the South - West corner of the field ABCD will be the starting point. For

convenience, fix a bamboo pole at the starting point.

From the starting point measure the length and breadth of the field by footsteps and

record it in Note Book.

Deduct 7 footsteps from both length and breadth.

Suppose the length and breadth of the fields as shown in Fig. above is 40 footsteps &

28 footsteps respectively. Then the length and breadth after deducting 7 footsteps,

then length & breadth will be 33 & 21.

Now select random numbers one for length and the other for the breadth from the

random number table. In the above example, the random number for both length and

breadth should be of two digits. Suppose random numbers for the fields for length is

14 & for breadth is 12.

To get the experimental plot now start walk 14 steps from the starting point “A” along

the length of the field. Call this point as “T”. Having arrived at this point “T”, enter into

the field along a direction at right angle to the length of the field to a distance of 12

footsteps corresponding to the random number selected for the breadth. Call this

point as “P”.

This point “P” will be the south-west corner of the desired plot.

From “P” proceed in a direction parallel to AB. With the help of tape measure a

distance PQ which is exactly up to 5 meters.

Place another peg at Q. Keep the zero point of the tape at “Q”, open a total length of

12.07 meters of the tape and keep the point of the tape showing the length 12.07

meters at “P”.

Now keeping the two points viz. 0 and 12.07 meters on Q & P respectively, stretch the

tape and fix the point “R” such that “PR” is of length 7.07 meters and QR is equal to 5

meters. It will be seen that the angle PQR is a right angle.

Place peg at point “R” which is the third corner of the plot to be located.

For obtaining the fourth point keep the two points in the tape marked 0 and 12.07

meters respectively at P & Q respectively and similar process to be adopted as stated

in above paragraph to get the fourth point “S”.

Place the fourth peg at “S”. The pegs PQRS indicate the four corners of the plot to be

harvested.

It should be noted that the plot PQRS should be laid out in such a way that the point P

is the south -west corner of the plot to be harvested and will be the point nearest to

the South – West corner of the whole field.

e) Harvesting:

Harvest the crops by picking or plucking within the string stretched four sides of the

plot. Collect all the harvested produce without leaving any produce in the plot. Weigh the

clean produce carefully, weighing of produce should be done up to 5 grams. This result of

weight is called green weight of the CCE. This green weight should be recorded in note book

as well as in prescribed CCE Reporting Format. Collect the information from the cultivators

and to be recorded in the prescribed format and submit the same to the next higher

authority. In case of multiple pickings crops all the picking should be recorded for same

selected plot and submit the same to the next higher authority

[Note: Prepare 5 (five) copies of Filled in CCE Format and submit copy of the same,

invariably on the same day to 1) The Director of Agriculture / Director of Horticulture & Soil

Conservation 2) Deputy Director of Agriculture/ Deputy Director of Horticulturer 3) Supdt. of

Agriculture/ supdt. Of Horticulture 4) Agri. Sector Officer and 5) Retain One copy with him /

her as office copy]

f) Organization of crop cut:

As per existing procedure, the cuts on different crops in each Agri./Horti Sub-Division will

be taken by the following personnel:

Stratum Sector

Officer

VLW/ Investigator/Asstt.

Investigator Total

Agri./Horti

Sub-Division 3 13 16 Nos.

In addition to the above, crop cutting experiment shall be conducted in presence of

the officers as desired by the authority as earmarked as follow:

Sl.

No.

Officers to be present during

Experiment

% of Crop

cutting

1.

2.

3.

4.

Dy. Director of Agriculture/ Horticulture or representative

Superintendent of Agriculture / Horticulture

Assistant Director/A.O posted in the SA/SH office

Agri. Sector Officer

10 %

10%

30%

50%

VLW/Investigator/Technical staff entrusted with the statistical work will remain

present in all the cases for smooth running of crop cutting experiment & one labour may be

engaged and payment of the labour @ minimum wages prescribed by the government time

to time be paid by the respective Superintend of Agriculture/Horticulture for which budgetary

provision has been kept.

Materials to be required for conducting CCEs:

The person assigned for undertaking CCEs will be supplied with crop cutting

experiment kit that includes the following:

1. One measuring tape of 30 m length.

2. Sufficient long string / rope of minimum 30 m length

3. Weighing balance with sets of standard weights of different denominations up to 5

grams / electronics weighing machine

4 Pegs/Straight bamboo poles (4 nos.)

5. Random number table

6. Gunny bag

7. Note Book

Calendar for carrying out of different activities for conducting CCEs

All the concerned should follow each and every activity adhering to the following time

schedule.

Name of the

crop

Randomly

selection of

village by SA/SH

office

Date of

submission of

exhaustive list

by VLW through

ASO to SA/SH

Randomly

selection of

farmers by SA/SH

& communicating

to ASO and VLW

Cutoff date for

receiving CCE

results by

Directorate

A. Summer

Vegetables

1.Bhindi 15th May 25th May 7th June 30th September

2.Brinjal 15th April 25th April 30th April 30th September

3.Spine Gourd 15th February 20th February 25th February 30th September

4.Pointed Gourd 15th February 20th February 25th February 30th September

5.Colacasia 15th February 20th February 25th February 30th September

6.Water Melon 15th January 30th January 15th February 30th June

B. Winter

Vegetables

1. Potato 20th December 25th December 30th December 30th April

2. Cabbage 10th November 20th November 25th November 30th April

3. Cauliflower 10th November 20th November 25th November 30th April

4. Brinjal 10th November 20th November 25th November 30th April

5. Raddish 10th November 20th November 25th November 30th April

6.Tomato 10th November 20th November 25th November 30th April

7.Gardenpea 10th November 20th November 25th November 30th April

8. Chilli 10th November 20th November 25th November 30th April

9. Bottle Gourd 10th November 20th November 25th November 30th April

C. Spices

1.Ginger 20th March 30th March 7th April 31st July

2.Turmeric 20th March 30th March 7th April 31st July

3.Chilli 20th March 30th March 7th April 30th September

4. Betel Vine 10th April 20th April 30th April 31st March

D. Pineapple 10th April 20th April 30th April 30th September

Format for Reporting Crop Cutting Experiment Results

PART-A

Sl.

No. Particulars



3 Name of the Block




7 Name of the Cultivator where actual CCE

conducted

8 Operational size of the holding of Farmer

9 Name of the crop

10 Type of the Variety of crop

11 Name of Variety

12 Sources of Seed

Departmental

source/ Private

Source/ Own Source

13 Seed used per Kani (0.16 ha)

14 Whether Manure/ FYM used in the plot Yes/ No

15 If yes, quantity of manure/FYM used (in per Kani)

16 Whether Chemical Fertilizer used in the plot Yes/ No

17 If yes, quantity of Chemical fertilizer used( in per

Kani )

18 a Date of sowing

18b Date of Transplanting

19 Date of harvesting / 1 st Picking

20 Total area under crop (kani) in respect of

cultivator for which CCE’s is under taken

21 Length of the field (in footsteps )

22 Breadth of the field (in footsteps )

23 Pair of random number selected

24 Green Weight of the Produce obtained in CCE’s in

Kg up to 5 gm

25 Moisture Percentage in the produce obtained in

CCE’s

28 Normal Average yield ( Kgs or Qtls. / Kani) where

CCE’s undertaken ( as per farmer’s experience)

29 Production obtained through CCE’s in respect of

Normal average yield is Normal/Good/Bad

30 Remarks about Production observed

31 Whether the selected field was irrigated or un-

irrigated

32 If irrigated the source of irrigation

33 Land type where CCE is undertaken

34 Weather condition during Crop season Normal

/Drought/flood

35 Extent of damage by pests or any disease

Signature of Official with seal taking the crop cut Signature or thumb

impression of the cultivator.

Counter Signature of the Agri. Sector Officer

with seal Remarks by

Superintendent of Agriculture:

Report of Supervisory officer

Name of Supervisory Officer:

Remarks of the Supervisory Officer about the yield obtained in CCE’s:

Prepare 5 (five) copies of CCE results in prescribed format and send one copy just on the

next day of the crop cut to the Director of Horticulture/Agriculture, Agartala., 2nd copy to the

D.D.H. of the Dist., 3rd copy to the Superintend of Agriculture/Horticulture and 4th copy to

the Agri./Horti. Sector Officer and 5th copy to be retained as office copy.

PART-B

Sl. No. Particulars



3 Name of the Block




7 Name of the Cultivator where actual

CCE conducted


9 Name of the crop


11 Name of Variety

16 Whether Chemical Fertilizer used in the

plot before picking

Yes/ No

17 If yes, quantity of Chemical fertilizer

used( in per Kani )

18 Green Weight of the Produce obtained

in CCE’s in kg up to 5 gm

Date Picking Green

Wt.

Note: PART A will be filled once & PART B will be filled up for all pickings.

Signature of Official with seal taking the crop cut Signature or thumb

impression of the cultivator.

Counter Signature of the Agri. Sector Officer

with seal Remarks by

Superintendent of Agriculture:

Report of Supervisory officer

Name of Supervisory Officer:

Remarks of the Supervisory Officer about the yield obtained in CCE’s:

Prepare 5 (five) copies of CCE results in prescribed format and send one copy just on the

next day of the crop cut to the Director of Horticulture/Agriculture, Agartala., 2nd copy to the

D.D.H. of the Dist., 3rd copy to the Superintend of Agriculture/Horticulture and 4th copy to

the Agri./Horti. Sector Officer and 5th copy to be retained as office copy.

Methodology for conducting crop cutting experiments for Fruit, Nuts &

Trees Spices

1. Sampling Design:

a) The sampling is a stratified multi stage random sampling. The Agri./Horti.

Subdivision in the district will be taken as strata, villages as primary sampling units,

orchards as second stage units and clusters of trees as the ultimate units of

sampling.

b) The number of villages will be selected from each Agri./Horti. Sub-Division in the

District in proportion to the area under the fruit crops.

c) The “reporting” villages in a stratum will be regarded as primary stage units and

selection of desired number of villages will be done by using probability

proportional to size with replacement (PPSWR) method.

d) Orchards in the selected villages and cluster of trees in the selected orchards will

then be selected with simple random sampling without replacement (SRSWOR)

method.

e) One sample village will also be selected from the “non-reporting” groups of villages

in each stratum (each Agri./Horti. Sub-Division).

2. Sample size

a) A total of 15 nos. of reporting villages (primary stage units) will be selected in the

district.

b) The Nos. of sample villages will be allocated to different strata (ASD) in proportion to

area under orchards.

c) Allocated number of villages in a stratum will be selected with probability proportional

to size with replacement (PPSWR) method.

d) At the second stage of sampling 3 orchards will be selected randomly by SRSWOR

method and from each selected orchard, 2 clusters of 4 bearing trees will be selected.

e) One village may also be selected from the “non-reporting” groups of villages in each

stratum.

3. Size of experimental plot:

Cluster of 4 nos. of bearing trees.

4. Nos. of Pickings: All the Pickings of selected trees.

5. Frequency: As per harvesting time.

Steps for conducting Crop Cutting Experiment (CCE) for Fruits, Nuts &

Trees Spices

1. Strata/ASD wise frame of Reporting and Non reporting villages: List of Reporting villages

and Non reporting villages will be prepared on the basis of village having significant cropped area

under fruits.

2. Strata/ASD wise No. of sample allocation: This will be done following Proportional allocation

method. No. of sample will be allocated proportional to the area under crop in each strata. This task

will be carried out by the DDA/DDH office.

3. Selection of Villages in strata/ASD: Villages in a stratum will be selected with probability

proportional to size with replacement (PPSWR) method taking area under crop in a village as auxiliary

character in consultation with random number table. This task will be carried out by the SA/SH

office.

4. Selection of Orchard: In each selected village 3 nos. of orchards will be selected from the

exhaustive list of orchards in a village by Simple Random Sampling without Replacement Method

(SRSWOR) in consultation with random number table.

5. Selection of Clusters: 2 nos. of clusters (4 nos. of bearing trees) will be selected from the

exhaustive No. of Clusters in a orchard by SRSWOR.

6. Conducting CCEs of selected Trees in Clusters: The selected clusters of trees may be

observed for entire harvesting period both with respect to weight as well as number of fruits in a

prescribed format.

Format for reporting Crop Cutting result of Fruits, Nuts &

Trees Spices

Part – A (Common for all Fruits, Nuts & Trees Spices crop)

Sl.

No. Particulars



3 Name of the Block




7 Name of the owner of the orchard where

actual CCE conducted


9 Area of the Orchard in Kani and Ganda

10 Type of the Orchard: Single/Mixed

11 Name of the crop for which CCE will be

undertaken


13 Name of Variety

14 Source of planting materials

15 Total Nos. of trees in the Orchard

16 Total Nos. of bearing trees in the orchard

17 Age of the Orchard

18 Max. and Min. age of tress in the Orchard

19 Total Nos. of trees in the Orchard for which

CCE will be undertaken

20 Total Nos. of bearing trees in Orchard for

which CCE will be undertaken

Part – B (For all Fruits & Nuts except Banana)

Serial N

o. of

the

pic

kin

g

Sl No of Cluster

I II

No. of

fruits

dam

ager

No. of

fruits

dro

pped

Rem

ark

s

Sl No. of Tree

1 2 3 4 1 2 3 4

Date of Picking

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Num

ber

Wt.

in K

g &

gra

m

Part – C (Only for Banana)

Survey No. of

the selected orchard

Sl No of the plant

First Cluster Second Cluster

Date No. of hands

No. of fingers

in hands

Total Weight of hand

Date No. of hands

No. of fingers in hand

Total Weight

1 2 3 4 5 6 7 8

1

1

2

3

4

2

1

2

3

4

3

1

2

3

4

4

B. Estimation of production & productivity through conducting Crop Yield

Appraisal Survey (YAS):

Estimation of crop yield of those crops, for which yield estimation is not done through

Crop Cutting Experiment (CCE) is considered for Crop Yield Appraisal Survey (CYAS). Yield

Appraisal Survey (YAS) is a objective method of yield estimation procedure in which yield of

crops is obtained by collecting information from cultivators just after harvesting of the crops.

1. Sampling Design:

The sampling design adopted in the YIELD APPRAISAL SURVEY is Multi Stage

Stratified Random Sampling. The Agri. subdivision will be taken as strata, the selected GP

within the ASD as First Stage Units (FSU), selected cultivators in a VLW Circle as a second

stage units & ultimate stage of sampling.

2. Method of Data Collection: Interview to the Cultivators with structured Questionnaires

supplied by the department (Interview Method).

3. Sample Size: 10 nos. of cultivator in each Agri. subdivision

Crop wise numbers of village are selected as below:-

Name of Crop No. of Village Agri.

Sub Division

Selected farmers @

2nos per village

Summer Vegetables : Ridge gourd,

snake gourd, Bottle gourd, Radish,

Chilli, Amarenthus, Sweet Gourd,

Cucumber, Ash Gourd, Bitter Gourd

Winter Vegetables: Carrot, Beet,

Knolkhol, Turnip, Brocoli, Spinach,

Sweet Gourd, Bottle Gourd

5 10

Minor Fruit: Guava, Ber, Litchi, 5 10

Minor Spices: Black Pepper 5 10

Steps for conducting Crop Yield Appraisal Survey

1. Selection of village

5 no of villages (GP/ADC Village) will be selected from each Agri./Horti. Sub-Division

randomly using random number table. Selection of villages will be done by the DDA/DDHs

just after completion of sowing/ planting of crops. The list of selected villages will be

communicated to the SA/SH with instruction to collect exhaustive list of farmers.

2. Selection of farmers

SA/SH will collect exhaustive list of farmers through VLW and ASO from each selected

village. 2 nos farmers will be selected from each village by using random number table and

the V.L.W and ASO will be assigned and communicated as per format given below for taking

Crop Yield Appraisal Survey.

Format for assigning staff for taking Crop Yield Appraisal

Name of the Crop:- Year:- Season

District:- Agri-subdivision:-

Sl N

o

Blo

ck

GP/A

DC V

illage

Nam

e o

f Farm

er

Are

a u

nder

crop (

Ha)

HYV/Hybrid/local/OP

Tenta

tive d

ate

of

Harv

est

Name of

staff

assigned

to take

Crop Yield

Appraisal

Name of

Supervisin

g Officer

3. Procedure for taking Yield Appraisal Survey:

a) The person assigned for YAS will visit the selected farmer’s field at least once at the time

of ripening stage of the crop.

b) He/She will visit the selected farmer’s field at least once at the time plucking for multi-

plucking crops.

c) He/She will take crop appraisal by interviewing the farmers and record the information in

the prescribed format & submitted to the ASO within 3days from the date of survey.

d) He/She will also mandatorily record the CYAS in statistical register in his circle.

Format for Yield Appraisal Survey for different Horti Crops

Part A

A1 Particular

Name of the Block :

Name of the Agri/Horti sub :

Name of the District :

A2 Crop details

I Name of the crop :

Ii Area under that Crop in the Block :

A Local :

B HYV :

C Hybrid :

D Others ( Pls Specify) :

Iii Quantity of seed distributed by

the Department in the block :

Iv Major variety Grown :

A3 Crop Status during the year :

I Overall Crop Stand during the Year

(Poor/Normal/ Good/Excellent) :

II Weather situation prevail during the

growing season of the crop :

III

Occurrences of Flood/ Drought/

Prolonged Dry spell/Heavy rain

during crop growing season

:

IV Pest & Disease Occurrences (pls.

Specify the Extent of Damage) :

V

Significant weather Condition

experienced by

the crop which is directly or

indirectly influenced the

performance of crop

:

VI Any Specific Biotic or Abiotic factors

which influenced the crops :

VII

Any other Specific input factor

which influenced the production of

that crop significantly

:

Signature of the O/C of Statistics Section,

O/O , SA/SH

PART B

B1 Particular :

I Name of the GP/VC :

Ii Name of the Block :

Iii Name of the Agrisub :

Iv Name of the District :

V Name of the Farmer :

Vi Farmers size of holding :

Vii Area cultivated during that particular season :

Viii Date of the Survey work :

Ix Crop Season

B2 Crop details in respect of specific cultivator :

I Name of the crop :

Ii Area under that Crop :

A Local :

B HYV :

C Hybrid :

D Others ( Pls Specify) :

Iii Sources of Seed :

Iv Name of the variety Grown :

V Land Type :

Vi Previous crops Sown :

Vii Sowing Time :

Viii Sowing Method :

Ix Seed Rate ( Kg/Kani)

X Use of FYM/Manure ( Name & Quantity) :

Xi Use of Biofertilizer (Name & Quantity) :

Xii Use of Fertilizer ( Name & Quantity) :

Xiii Irrigated/Unirrigated :

Xiv If, irrigated Sources of Irrigation :

Xv Whether demonstration plot :

Xvi Crop condition as per farmers anticipation

(Poor/Normal / Good/Excellent) :

xvii

Occurrences of Flood/ Drought/ Prolonged

Dry spell/Heavy rain during crop growing

season

:

xviii Pest & Disease Occurrences ( pls Specify

the Extent of Damage) :

Harvesting time :

B3 Production obtained :

I a.

Production Obtained in each Plucking , in

case of Multi Plucking Crops as per farmers

anticipation

No. of Pickings Qty. in Kgs

Total

Ib. Total production harvested (farmers

anticipation with local units & Qtls) :

II Average productivity ( farmers anticipation

with local unit & Qtl/ha :

III Last year Average Productivity ( farmers

anticipation with local unit & Qtl/ha) :

IV Total cost of Cultivation (Rs/ Kani) :

V Gross Return (Rs/ Kani) :

VIa. Total annual income of the Cultivator from

Agricultural crops :

VIb. Total annual income of the Cultivator from

Horticultural crops

VII Others sources of Income ( Rs/ha) :

VIII Total Marketable Produce (in Qtl) :

IX Market Price ( Rs/ Qtl) :

X Farmers Reaction:

a) Problems: b) Benefits: c)Suggestion: :

Signature of the farmer:

Signature of the VLW/Agri. Asstt.:

Signature of the Agri. Sector Officer:

Signature of the Supdt. Of Agriculture:

Note : For each crop & each cultivator PART B will be filled up by respective

VLWs.

Procedure for selection of sample by using random number table

A practical method of selecting a random sample is to choose units one- by -one with

the help of Table of random numbers. Random number tables are the tables of digits 0,

1,2,….9 each digit having an equal chance of selection at any draw. On the basis of number

of digit, one number digit, two number digit, three number digit etc. random number table is

available in ANNEXURE–I. Generally, one digit random numbers lies between 0 to 9, Two

Digit Random number 00 to 99 & similarly, three digit random numbers is 000 to 999 & so

on. The following steps to be followed in selection of sample (villages/cultivators) from the

exhaustive list.

1. Note the number of exhaustive list (Villages/ Cultivators) say, N from where sample

is to be selected.

2. List al the N labeling with serial number in ascending order.

3. Check the number of digit in N & same digit random number to be considered for

drawing.

4. Start with any number with in a row or column and move up and down, left and

right as wishes.

5. Now, accept all those numbers which is lies with in N & beyond the value of N ,

numbers will be rejected.

6. Continue the process, till arrive at requisite number of sample.

By following, the above steps requisite number of sample villages & cultivators may be

selected.

This is very simple method. However, this procedure of selection of sample villages or

cultivators involves a number of rejections, since all numbers greater than N appearing in the

table is not considered for selection. The procedure of selection of sample through the use of

random number is, therefore, modified and some of these modified procedures are:

i) Remainder Approach

ii) Quotient Approach

I) Remainder Approach:

1. Let N be an r digit number and let its r digit highest multiple be N’.

2. A random number k is chosen from 1 to N’ and the unit with serial number

equal to the remainder obtained on dividing k by N is selected.

3. If the remainder is 0, the last unit is selected.

As an illustration, let N= 123, the highest three digit multiple of 123 is 984. For

selecting a unit, one random number from 123 gives the remainder as 41. Hence, the unit

with serial number 41 is selected in the sample. Similarly if the random number selected is

369, then dividing 369 by 123 leaves remainder as 0, so the unit bearing serial number 123 is

selected in the sample.

i) Quotient Approach:

1. Let N be an r-digit number and let its r-digit highest multiple be N* such that

N*/N =d. A random number k is chosen from o to (N* -1) .

2. Dividing k by d, the quotient q is obtained and the unit bearing the serial

number (q-1) is selected in the sample.

3. If q-1 = -1 , then unit bearing serial number N-1 is selected, and if q-1 = 0 ,

then unit bearing serial number N is selected.

As an illustration, let N= 16 and hence N* =96 and d= 96/16=6. Let the two digit random

number chosen be 65 which lies between 0 and 95. Dividing 65 by 6 , the quotient is 10 and

hence the unit bearing serial number (10-1) = 9 is selected in the sample. Further, if the

random number selected is 4, then the quotient is 4/6= 0 and q-1 =-1. The unit selected is

15. Similarly, if the random number selected is 9 , then the quotient is 9/6=1 and q-1= 0.

The unit selected is 16.

Example1: How to select village for taking Crop cut using random number table

(Remainder Approach)

Suppose in a block there are 192 villages in total. Further suppose, we have to select 10

villages out of total 192 villages. Following randomization procedure has to be followed for

section of villages where crop cutting experiment has to be conducted.

1. A list of 192 villages has to be prepared in ascending order.

2. Because, 192 is a 3-digit number, therefore, 3-digit random number table will have to

be used for selection of villages.

3. The highest 3-digit random number is 999. Divide 999 by 192, the remainder will be

39. After subtracting 39 from 999, the remainder is 960. Therefore, we have to

consider random numbers which are less than or equal to 960 . The random number

from 961 to 999 and 000 will be rejected.

4. Suppose the Statistical Staff of Agri. Sub-Division followed column number – 3 and

row number- 2 of the 3-digit random number table. The first 10 random numbers in

this column are 719, 357, 942,436, 985, 470,107,317,226, 169 and 540. The number

985 lies between 961 and 999 and is therefore, rejected. The next number in this

column is 540. Therefore, 10 numbers selected are 719, 357, 942,436,

470,107,317,226, 169 and 540. Since all the numbers so selected except 107 &

169 are greater than 192, we are to divide these numbers by 192 and obtain the

remainders. The remainders are 143,165,174,52,25,86, 34,192

5. Thus, Villages having serial number of 107, 169, 143,165,174, 52, 25, 86, 34, 192 will

be selected for CCEs.

Example2:- How to select cultivators’ plot for taking crop cut using Random number

table ( Remainder Approach)

Suppose the village number 107 selected above is Rampura and the total number of Cultivators’

plot / dag number where the desired crop is grown in this village is 23. Since 23 is 2 digit number we

will use 2 digit Random Number Table for selection of the 2 nos. Cultivators’ plot / dag number. The

highest 2(two) digit number is 99. Divide 99 by 23 the remainder is 7. Subtract 7 (remainder) from

99 and the remainder is 92. Therefore, we will consider 2 digit Random number which are less or

equal to 92 only i.e. Random numbers from 93 to 99 will be rejected.

Suppose the 2 digit Random number column used by the Statistical Inspector/ Investigator is 8

and the Random number row allotted is 5 and we have to select 2 nos. cultivators’ plot / dag

numbers.

We find that the random numbers given in column 8 of row 5 are : 12 and 72 . Out of these, the

Random number 72 is higher than 23 and we shall take the remainder. The remainder will be 3.

Thus the random numbers selected will be 12, 3.

So, the Dag No/Cultivator’s plot having Serial number 12 & 3 will be selected for CCEs.

Random Number Table

Annxure - I

Col.1 Col.2 Col.3 Col. 4 Col.5 Col.6 Col.7 Col.8 Col.9 Col. 10

Row 1 3835 4337 7732 2419 3074 9497 6546 2641 4249 1488

ow 2 1841 9300 4931 5108 1336 2977 7067 4730 4388 9214

Row 3 6226 5534 6595 8618 3093 2337 5994 8650 6025 2902

Row 4 5805 1540 2251 4671 1017 3168 5520 2574 7186 7936

Row 5 1118 5059 5654 9474 6060 6728 3652 6570 4191 7664

Row 6 3345 4663 1514 1837 7570 1555 6828 8623 5547 3171

Row 7 2481 2844 2736 7806 9275 1596 6761 7385 7944 7277

Row 8 8485 3420 4925 3411 2524 3139 7636 2707 8067 8392

Row 9 5128 1087 7988 2011 4934 4742 2096 2238 2428 4764

Row 10 3846 7746 7616 8179 7778 5004 9010 9401 4722 2323

Row 11 9367 4715 5425 9036 6706 1834 9517 5599 8637 2343

Row 12 2336 2452 2138 6301 2743 9390 6907 7614 9502 4138

Row 13 8280 8873 2847 3152 3929 9759 1220 7036 1323 6910

Row 14 3965 9450 8038 3912 6144 7868 7738 4914 7289 8583

Row 15 4006 9655 2555 3036 1685 8236 2655 6121 2128 8760

Row 16 8185 3758 6742 1192 2691 8241 5053 7970 8891 1526

Row 17 4282 7038 8525 5382 1011 8137 2245 8887 2814 1889

Row 18 2278 9234 8936 2924 4659 4462 1366 8808 2471 5125

Row 19 1932 9575 2639 2529 2825 8584 9363 3684 1260 7876

Row 20 5492 6341 9696 3284 3889 5657 3393 9512 8667 8798

Row 21 1970 8878 3741 5263 4156 8187 7701 3561 4620 6850

Row 22 5387 3779 4846 7649 6613 2067 6069 9406 7453 2259

Row 23 9645 7962 8691 7924 8220 7995 4138 5605 6139 5289

Row 24 5288 4553 6827 3235 6078 7865 7339 6200 3684 2030

Row 25 3151 2813 8266 3653 8361 7464 2095 4358 2282 4689

Row 26 8749 1149 7831 2316 3758 2050 4702 7230 5888 3719

Row 27 9754 6820 8446 7959 6997 3845 9880 1861 4997 8775

Row 28 8088 1116 1529 1730 5062 5889 3067 3561 7966 7796

Row 29 2120 8344 4504 3511 2892 4663 1646 2454 6267 7575

Row 30 7328 2333 4535 7890 2440 6290 1387 1368 1413 4712

Row 31 8895 3873 9323 7069 6283 5379 2389 6365 6810 4560

Row 32 7523 2891 7814 8640 5414 3814 3503 6563 8629 9071

Row 33 6123 6427 8905 4044 8774 1357 4177 1949 8761 8426

Row 34 8247 4655 4179 9566 3791 7250 7979 3863 7912 5530

Row 35 7425 7929 3651 3605 1728 9005 1867 2255 4666 2713

Row 36 3327 6852 8498 6669 6026 6229 3373 5904 5674 5703

Row 37 4524 9035 1150 7254 7821 7699 6296 1412 4256 1518

Row 38 7066 8927 4096 5487 8032 4242 7132 6704 8092 5765

Row 39 4881 2863 6667 3818 6798 3712 7912 2556 3057 1425

Row 40 9711 1353 5557 2900 4471 8066 3238 5035 5613 7780

Row 41 3334 5305 6594 6306 5466 5126 9906 1557 4119 4561

Row 42 3175 6329 4310 2824 5749 9544 8450 3791 4448 3916

Row 43 8587 3452 4447 2625 5225 7800 1187 6352 7410 7730

Row 44 8134 6956 8473 4783 3553 2499 3411 8516 8965 7841

Row 45 8696 4186 9198 2865 9575 9658 8195 1414 3712 6145

Row 46 4616 6820 4497 3075 4909 2634 8289 5659 8838 6178

Row 47 7332 6356 9385 8787 1587 7387 5446 2162 3568 7823

Row 48 4473 4285 6586 6403 5325 2552 6603 4650 3310 5832

Row 49 4325 7141 1889 5453 7708 6243 2986 8432 2677 4510

Row 50 1075 2723 1865 3889 9601 4210 8452 3569 3622 4368

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